Frequency and correlates of use of applications for monitoring and increasing health and well-being in middle-aged and older adults. Findings from the German Ageing Survey.

AIM: To clarify the frequency and correlates of using applications for monitoring and increase of health and well-being among middle-aged and older adults during the COVID-19 pandemic in Germany. METHODS: Data were used from the nationally representative German Ageing Survey (n = 3,174 individuals in the analytical sample; June/July 2020). The frequency of using applications for monitoring and increasing health and well-being (from daily to never) was used as main outcome measure. RESULTS: Among individuals with access to the internet, 76% never used applications for monitoring and increase of health and well-being, whereas about 13% were rare and 11% were frequent users of such applications. Multinomial regressions showed that the likelihood of being a rare user (compared to never users of such applications) was positively associated with being male [RRR: 0.74, 95% CI: 0.59-0.93], the frequency of walks [e.g., several times a week compared to never: RRR: 2.76, 95% CI: 1.15-6.59] and worse self-rated health [RRR: 1.33, 95% CI: 1.11-1.59]. Furthermore, the likelihood of being a frequent user (compared to never users) was positively associated with younger age [RRR: 0.96, 95% CI: 0.94-0.98] and the frequency of walks [daily compared to never: RRR: 2.61, 95% CI: 1.07-6.35]. CONCLUSIONS: Applications for monitoring and increasing health and well-being are used by about one out of four middle-aged and older individuals with access to the internet in Germany during the COVID-19 pandemic. In international comparison, the proportion of users is rather low. Determining the factors associated with such use may help to address non-users.

IoT snoring sound detector prototype as a model of future participatory healthcare.

BACKGROUND: Traditional healthcare is centred around providing in-hospital services using hospital owned medical instruments. The COVID-19 pandemic has shown that this approach lacks flexibility to insure follow-up and treatment of common medical problems. In an alternative setting adapted to this problem, participatory healthcare can be considered centred around data provided by patients owning and operating medical data collection equipment in their homes. OBJECTIVE: In order to trigger such a shift reliable and price attractive devices need to become available. Snoring, as a human sound production during sleep, can reflect sleeping behaviour and indicate sleep problems as an element of the overall health condition of a person. METHODS: The use of off-the-shelf hardware from Internet of Things platforms and standard audio components allows the development of such devices. A prototype of a snoring sound detector with this purpose is developed. RESULTS: The device, controlled by the patient and with specific snoring recording and analysing functions is demonstrated as a model for future participatory healthcare. CONCLUSIONS: Design of monitoring devices following this model could allow market introduction of new equipment for participatory healthcare, bringing a care complementary to traditional healthcare to the reach of patients, and could result in benefits from enhanced patient participation.